Watershed prioritization based on morphometric analysis coupled with multi criteria decision making

Gopinath, Girish; Nair, Ajith G.; Kamalamma, Ambili G.; Swetha, T. V.

doi:10.1007/s12517-015-2238-0

Cited by 42 publications

(23 citation statements)

References 35 publications

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“…The values of Lsm of 1 to 6 order in the river basin are as follows 1.98, 3.28, 1.2, 4.8 and 4.12 ( Table 1). Lsm has a highest significant association with the surface flow discharge and erosional stage of the basin [7]. Low Lsm shows high surface flow and erosion.…”

Section: Mean Stream Length (Lsm)mentioning

confidence: 93%

“…Low basin relief indicates low runoff, low sediment transport and spreading of water basin. High relief tends to enhance the flood peaks of the drainage system [7]. Basin relief for the study area ranges between 314 for 6 th watershed to 2312 to 9 th watershed.…”

Section: Basin Relief (Bh)mentioning

confidence: 99%

“…Preferences for sub watershed are based on their decreasing order of drainage density. Regions with highly resistant and permeable surface material, and low relief show low drainage density where as region underlain by weak and less permeable material and with high relief show high drainage density [7]. Drainage density of watershed varies between 5 to 7.…”

Section: Drainage Density (Dd)mentioning

confidence: 99%

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GIS-Based Approach in Drainage Morphometric Analysis of Bharathapuzha River Basin, India

Dhanusree

Bhaskaran

2019

JGEESI

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Aims: The paper aims to study about the river basin morphometry namely the physical, linear and aerial parameters for the basin. Study Design: The Study has been carried out with the help of Geospatial techniques and statistical formulas. Place and Duration of Study: Bharathapuzha river basin, Kerala, India between January 2018 to July 2018. Methodology: The Study of River morphometry of Bharathapuzha River basin has been done with the help of SRTM satellite data. The downloaded data has been analyzed with the help of ARC GIS Software. The morphometric analysis has been carried out by dividing the basin into nine watersheds based on Water shed Atlas of India Prepared by Soil and Land Use board of India. Relief, Linear and areal parameters of the basin is calculated with the help of statistical formulas. Results: Based on the analysis it is noted that there is not much difference in morphometric values except in some watersheds. Watershed number 5A2B5, 5A2B6 and 5A2B7 has highest drainage density, stream frequency, relief, relief ratio, ruggedness number, stream length ratio and lowest bifurcation ratio. These watersheds are characterized by highest surface runoff and erosion. The values of form factor, circulatory ratio and elongation ratio suggests that most of the watersheds are elongated and has high basin relief. The maximum stream order frequency is observed in case of first order streams and then for second order streams. Hence it is noted that there is decrease in stream frequency as stream order increases. Conclusion: The mean bifurcation ratio of the Bharathapuza basin is 1.52 which indicates the whole basin is less effected by structural control. This present study is valuable for the erosion control, watershed management, land and water resource planning and future prospective related to runoff study.

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Section: Mean Stream Length (Lsm)mentioning

confidence: 93%

Section: Basin Relief (Bh)mentioning

confidence: 99%

Section: Drainage Density (Dd)mentioning

confidence: 99%

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GIS-Based Approach in Drainage Morphometric Analysis of Bharathapuzha River Basin, India

Dhanusree

Bhaskaran

2019

JGEESI

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“…There is a high association between the mean stream length, runoff, and the erosional phase of the watershed. If the L sm is low, it shows a higher surface flow and erosion (Gopinath Girish et al, 2016). The L sm of the watershed ranges between 1.4 and 12.13.…”

Section: Mean Stream Length(l Sm )mentioning

confidence: 99%

Application of GIS techniques to understand the geomorphometric characteristics of a tropical watershed in South India

Sreelakshmy¹,

Dhanusree

Thangamani

2021

Geology, Ecology, and Landscapes

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Identifying and protecting natural resources is a meaningful way forward for achieving sustainable development. Since water is a precious natural resource that is being depleted faster than it is recharged, there is an urgent need to evaluate and monitor this resource. Watershed-based studies are gaining momentum, while studying about the natural resources. The purpose of this study is to analyze the morphometric characteristics of a watershed. Numerous morphometric parameters have been devised by various scholars to measure the drainage basin characteristics quantitatively. The methodology of this study is to make use of remote sensing and GIS techniques to analyze the drainage morphometry of Vannathangarai watershed in Tamil Nadu, India. The study has identified that the watershed has a low runoff and slow infiltration, thus pointing toward a probability of flooding. The study also revealed that the basin is well drained, basin where the surface is lowered by erosion.

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“…Numerous studies have been attempted using geo-morphometric multivariate analysis in conjunction with several weight deriving methods to prioritize sub-watersheds in different levels (Rahmati et al, 2016; | P a g e Chandniha and Kansal, 2017;Arefin et al, 2020); Principal Component Analysis (PCA) (Gopinath et al, 2016;Singh and Singh, 2018;; and Weighted Sum Analysis (WSA) (Adhami and Sadeghi, 2016;Ayele et al, 2017;Naqvi et al, 2019). Moreover, several approaches have been developed to determine soil degradation and resulting prioritization of watersheds, ranging from basic analytical models to process-oriented physical-based models.…”

Section: Introductionmentioning

confidence: 99%

Watershed prioritization for soil erosion mapping for the Lesser Himalayan Indian basin using PCA, WSA method in conjunction with morphometric parameters and GIS-based approach

Kumar

Singh

Pramanik

et al. 2021

Preprint

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Watersheds in the subtropical Himalayan basins are highly prone to land degradation due to deforestation, landslides, intensive agriculture, population pressure, and overgrazing, in particular, where various fluvial and denudation processes occur. It is important to assess the magnitude of problem and to understand the erosion process under normal conditions, so that effective measures can be implemented. Therefore, the study selected Kalsa watershed from the Lesser Himalayan region, where soil erosion is more prominent. Regarding this issue, to identify the hotspot of soil erosion of the basin, watershed prioritization methods using advanced geographical information system and remote sensing techniques integrated with weighted sum analysis (WSA) and principal component analysis (PCA). In addition, a comparison has been made to evaluate the performance of these models. The study considered sixteen different morphometric parameters, including linear (Rho coefficient, stream frequency, drainage density, length of overland flow, drainage texture, and constant of channel maintenance); landscape (relative relief, relief ratio, basin slope, and ruggedness number); and shape (elongation ratio, form factor, circulatory ratio, and compactness coefficient). Both the method PCA and WSA indicate the same results showing high priority, meaning the outlet watersheds have high priority. The sub-watersheds in the north-eastern part have the lowest priority. The results also show that the length overland flow, relative relief, basin relief ratio and hypsometric integral are the most important indicators. The sub-watersheds prioritize high ranks, medium ranks, and low ranks out of 10 sub-watersheds covering about 45.32%, 27.78% and 26.90% area of the Kalsa River watershed, respectively. This study will help regional planners, farmers, and governments take more detailed decisions to propose efficient soil erosion control measures and conservation priorities of the watershed. The study findings have implications for sustainable land management and conservation goal targets (target 2.3 and 2.4; target 3.9; target 13.1, 13.2 and 13.3; target 15.3 and 15.4), which finally helps to achieve the United Nation’s 2030 Agenda for Sustainable Development.

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Watershed prioritization based on morphometric analysis coupled with multi criteria decision making

Cited by 42 publications

References 35 publications

GIS-Based Approach in Drainage Morphometric Analysis of Bharathapuzha River Basin, India

GIS-Based Approach in Drainage Morphometric Analysis of Bharathapuzha River Basin, India

Application of GIS techniques to understand the geomorphometric characteristics of a tropical watershed in South India

Watershed prioritization for soil erosion mapping for the Lesser Himalayan Indian basin using PCA, WSA method in conjunction with morphometric parameters and GIS-based approach

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